基于模糊PID的舰艇编队攻击路径优化规划研究

Research on optimal path planning of warship formation attack based on fuzzy PID

为了提高海上舰艇编队攻击路径自动规划和自适应调度能力,从而实现海上舰艇编队协同智慧调度,提出基于模糊PID的舰艇编队攻击路径优化规划算法。采用卫星通信组网信息调度技术进行海上舰艇编队攻击路径规划的控制指令信息提取,结合舰艇编队攻击路径的信息特征检测技术进行攻击路径规划过程中的信息调度和特征提取,采用模糊神经网络控制技术进行海上舰艇编队攻击路径自动规划的线路自动筛选和寻优控制处理,构建物联网信息管理平台进行海上舰艇编队攻击路径自动规划和分布式协同调度,采用模糊PID神经网络学习方法进行海上舰艇编队攻击路径规划的优化学习。仿真结果表明,采用该方法进行舰艇编队攻击路径规划的协同控制能力较好,区域覆盖能力较强,路径自适应寻优的收敛性较好。

In order to improve the automatic planning and adaptive scheduling ability of marine warship formation attack path,so as to realize the cooperative wisdom of offshore warship formation,a fuzzy PID based ship formation attack path optimization planning algorithm is proposed.The satellite communication network information scheduling technology is used to extract the control instruction information of the attack path planning of the marine warship formation.Combined with the information feature detection technology of the attack path of the warship formation,the information scheduling and feature extraction in the process of the attack path planning are carried out.The fuzzy neural network control technology is used to automatically screen and optimize the route of the attack path automatic planning of the marine warship formation.The information management platform of the Internet of things is constructed for automatic planning and distributed cooperative scheduling of attack paths for offshore warship formation,and fuzzy PID neural network learning method is used to optimize the attack path planning for offshore warship formation.The simulation results show that the cooperative control ability of ship formation attack path planning is better,the regional coverage ability is strong,and the convergence of path adaptive optimization is better.